Implementation of issue tracking software for Comverse Network Systems

Project summary Implementation of issue tracking software for a leading provider of software and systems for communication industry
Customer Comverse is the world’s leading provider of software and systems enabling value-added services for converged billing and active customer management, mobile Internet, and value-added services. Comverse’s extensive customer base spans more than 125 countries and covers over 450 communication service providers serving more than two billion subscribers.

Comverse is ranked number 55 in PwC’s Global 100 Software Leaders

Project geography USA
Project objective Define Quality Management process
  • Formalize Role model and responsibilities matrix with respect to issue tracking and quality management
  • Define issues types, their standard and custom properties, 
  • Define issues workflows
  • Define quality and release readiness metrics
  • Define standard and custom properties 

Configure and deploy issue tracking system

  • Configure user roles, user security, and workflows
  • Configure issues types, their standard and custom properties
  • Create standard metrics, metrics thresholds, and systems alerts

Define standard and custom reports and dashboards

Project highlights Process Management: The system allowed to automated and track all issues according to their lifecycle. Workflows were quickly modeled and designed. Flexible reporting allowed to monitor and affect quality management and release processes when needed

Flexibility: The issue tracking system implemented a completely configurable role model and workflow system. It allowed Comverse to automate quality management for development teams working with different processes

Quality and time-to-market speed:  Providing complete current and historic quality metrics for product releases allowed Comverse to speed up release schedule and reduce the “stabilization” phase of their development projects

Project description Technologies: C++, XML, HTML, JavaScript, AJAX, MS SQL